Unveiling scholarly insights: A bibliometric analysis of literature on gender bias at the workplace
Downloads
Published
DOI:
https://doi.org/10.58414/SCIENTIFICTEMPER.2024.15.3.45Keywords:
Gender bias, Gender discrimination, Bibliometric analysis, Systematic literature review, Data visualization.Dimensions Badge
Issue
Section
License
Copyright (c) 2024 The Scientific Temper

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Gender bias and discrimination in the workplace remain significant global challenges, impacting individuals and organizations. Despite heightened awareness and scholarly focus, a comprehensive, up-to-date evaluation of the literature’s scientific impact and citation trends is missing. This research article addresses this gap through a bibliometric analysis from 2000 to 2023, assessing gender bias’s scientific significance, citations, and pre-publication information. Utilizing tools like RStudio, VOS viewer, Dimensions analytics, and MS Excel, the study analyzes manuscripts from the Dimensions database. The analysis reveals notable trends, showing a steady rise in publications from 2003, with fluctuations in 2002 and 2008-2011, stability from 2012-2015, and a significant surge from 2016-2023, peaking in 2019-2022. The United States leads in publication quantity and collaboration. Key topics such as "Economics and Identity," the "glass cliff phenomenon," and the "climate for women in academic science" dominate citations. Prominent journals like "Building A New Leadership Ladder" and "Plos One" highlight the interdisciplinary nature of gender bias research. Influential contributors like Geffner CJ, Kim S, and Ryan MK are acknowledged for their dedication. This study underscores the interdisciplinary reach of gender bias research across Human Society, Commerce, Law, Biomedical Sciences, and Psychology, offering valuable insights into publication trends, collaborative networks, and thematic developments. The findings emphasize the need for continued exploration and collaboration to address gender-related challenges in professional settings.Abstract
How to Cite
Downloads
Similar Articles
- James L T Thanga, Ashley Lalremruati, Agent’s roles and perspectives of life insurance market in North-East India , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
- Senthil Murugan C, Vijayabalan Dhanabal, Sukumaran D, Suresh G, Senthilkumar P, Analysis of distributions using stochastic models with fuzzy random variables , The Scientific Temper: Vol. 15 No. 04 (2024): The Scientific Temper
- Priyanka P, Sabu Sebastian, Haseena C., Bijumon R., Shaju K., Gafoor I., Sangeeth S. J., Multi-fuzzy set similarity measures using S and T operations , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
- Kavitha V, Panneer Arokiaraj S., RPL-eSOA: Enhancing IoT network sustainability with RPL and enhanced sandpiper optimization algorithm , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
- Divya R., Vanathi P. T., Harikumar R., An optimized cardiac risk levels classifier based on GMM with min- max model from photoplethysmography signals , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
- P. John Robinson, P. Susai Alexander, Neural net influenced magdm problem with modified choquet integral aggregation operators and correlation coefficient for triangular fuzzy intuitionistic fuzzy sets , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
- Abhinav P. Yadav, Shubham Gudadhe, Sarika Kumari, Sadanand Maurya, Manikant Tripathi, Awadhesh K. Shukla, Assessment of heavy metal contamination in Trifolium alexandrium and Spinacia oleracea using ICP-MS: A comparative analysis across different districts in eastern Uttar Pradesh , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
- Amanda Q. Okronipa, Jones Y. Nyame, Exploring the effect of perceived empathy and social presence on the intention to use AI in higher education , The Scientific Temper: Vol. 15 No. 04 (2024): The Scientific Temper
- Raja S, Nagarajan L., Hybridization of bio-inspired algorithms with machine learning models for predicting the risk of type 2 diabetes mellitus , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
- Archana Verma, Application of metaverse technologies and artificial intelligence in smart cities , The Scientific Temper: Vol. 15 No. 02 (2024): The Scientific Temper
<< < 46 47 48 49 50 51 52 53 54 55 > >>
You may also start an advanced similarity search for this article.

